• DocumentCode
    1905526
  • Title

    Robots vs. machines: Identifying user perceptions and classifications

  • Author

    Schaefer, Kristin E. ; Billings, Deborah R. ; Hancock, Peter A.

  • Author_Institution
    Inst. for Simulation & Training, Univ. of Central Florida, Orlando, FL, USA
  • fYear
    2012
  • fDate
    6-8 March 2012
  • Firstpage
    138
  • Lastpage
    141
  • Abstract
    Ways in which people perceive machines as robots can influence their subsequent behavior and interactions. Individuals may make these classification decisions based solely on visual information, and thus the physical form of the entity alone. Participants viewed images of robots from a variety of identified domains and rated each image according to the extent to which they perceive the entity as a machine and the extent to which they viewed it as a robot. Findings suggest that images portraying greater anthropomorphic properties are classified as more robotic. Implications for robot design and trust are discussed.
  • Keywords
    human-robot interaction; anthropomorphic property; classification decision; machines; robot design; user behavior; user interaction; user perception; visual information; Educational institutions; Educational robots; Human factors; Humans; Service robots; Training; human-robot interaction; physical characteristics; robot appearance; robot classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2012 IEEE International Multi-Disciplinary Conference on
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    978-1-4673-0343-9
  • Type

    conf

  • DOI
    10.1109/CogSIMA.2012.6188366
  • Filename
    6188366